We present the notion of Iterative User-Defined Aggregates as an extension of the notion of user-defined aggregates in deductive databases. Such an extension provides a versative mechanism for defining complex aggregation functions, that are not definable as distributive aggregates. As a result, we show how such a mechanism can be applied to the specification of complex data mining tasks as user-defined aggregates. The resulting formalism provides a flexible way to customize, tune and reason on both the evaluation functions and the extracted knowledge.
Declarative Knowledge Extraction with Interactive User-Defined Aggregates
Giuseppe Manco
2001
Abstract
We present the notion of Iterative User-Defined Aggregates as an extension of the notion of user-defined aggregates in deductive databases. Such an extension provides a versative mechanism for defining complex aggregation functions, that are not definable as distributive aggregates. As a result, we show how such a mechanism can be applied to the specification of complex data mining tasks as user-defined aggregates. The resulting formalism provides a flexible way to customize, tune and reason on both the evaluation functions and the extracted knowledge.File in questo prodotto:
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